HRMS migration
Field-level mapping, validation, and rollback between unstop and Recruit CRM & ATS. We move data and schema; workflows are rebuilt natively in Recruit CRM & ATS.
unstop
Source
Recruit CRM & ATS
Destination
Compatibility
9 of 10
objects map 1:1 between unstop and Recruit CRM & ATS.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Migrating from Unstop to Recruit CRM is a structural shift from a pre-employment engagement platform to a recruitment-agency ATS. Unstop tracks candidates, competitions, hackathons, and quiz scores for student and entry-level talent; Recruit CRM is built around the agency recruiter's workflow of Client, Candidate, Job, and Placement records. Unstop does not publish a public REST API, so extraction proceeds via CSV downloads coordinated with Unstop account management. We flag quiz session records with missing or anomalous end timestamps (a known Unstop mobile-app crash artifact), tag self-reported profile fields as unverified, and normalize multi-format competition and hackathon data into a JSON payload stored as a custom candidate engagement record. Application-to-Job links are preserved by resolving the Job reference at migration time. Workflows, automation rules, and assessment rubrics do not migrate; we deliver a written inventory of Unstop automation objects requiring manual rebuild in Recruit CRM.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a unstop object lands in Recruit CRM & ATS, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
unstop
User (Candidate)
Recruit CRM & ATS
Candidate
1:1Unstop Users with candidate role map to Recruit CRM Candidate records. Education, skills, and work-history fields migrate as custom candidate properties. We flag any profile field sourced from Unstop's self-registration model as unverified in a custom verification_status__c field, directing the customer's recruiters to re-verify before using those fields for screening. The recruiter-side User records from Unstop (organizations posting jobs) map to Recruit CRM Client records.
unstop
Job Posting
Recruit CRM & ATS
Job
1:1Unstop Job postings migrate 1:1 to Recruit CRM Job records with title, description, location, and salary range mapped directly. Application deadline from Unstop maps to the Recruit CRM job expiry or close_date field. Active versus archived status is carried forward as the job visibility or publish flag.
unstop
Internship
Recruit CRM & ATS
Job
1:1Unstop Internship records follow the same schema as Job postings with added internship_type, duration, and stipend fields. These map to Recruit CRM Job records with internship-specific fields stored as custom properties. The internship_type discriminator identifies which records are internships versus standard job postings after migration.
unstop
Application Record
Recruit CRM & ATS
Application (Candidate-Job relation)
1:1Unstop Application records linking a User to a Job, Internship, or Competition migrate as Recruit CRM application entries attached to the corresponding Job record and Candidate record. Application status history (Applied, Shortlisted, Rejected, Withdrawn) migrates as a status log on the application record. The parent Job reference is resolved before application records are inserted to maintain referential integrity.
unstop
Competition Enrollment
Recruit CRM & ATS
Candidate Engagement
1:1Competition enrollment lists migrate as Candidate Engagement or Activity records in Recruit CRM, with the competition name, organizer, enrollment date, and final status (Participated, Winner, Withdrew) stored as engagement metadata. Team-based competitions flatten team membership into individual participation records with a parent event reference. Competition-specific scoring is stored as a JSON payload in a custom engagement detail field to preserve all format-specific data.
unstop
Hackathon Record
Recruit CRM & ATS
Candidate Engagement
1:1Hackathon records holding team structures, submission URLs, judging scores, and leaderboard positions migrate as Candidate Engagement records. Team memberships are flattened into individual participation records with a parent Hackathon reference and role field. Scores and leaderboard positions are stored as custom numeric fields on the engagement record.
unstop
Scholarship Posting
Recruit CRM & ATS
Job or Custom Program Record
1:1Scholarship records with eligibility criteria, award amount, application deadline, and applicant lists migrate as either Recruit CRM Job records (if the customer wants to track applicants within the ATS) or as a custom Program record type we create in Recruit CRM. The eligibility criteria field is preserved as a structured JSON payload in a custom field to avoid character limit truncation.
unstop
Quiz Session
Recruit CRM & ATS
Candidate Evaluation Activity
1:1Individual quiz attempt records with start/end timestamps, score, passing status, and device platform migrate as Candidate Evaluation or Test Attempt activity records in Recruit CRM. We flag any record where the end_timestamp is missing or anomalous as a crash-affected record requiring manual review before use. We cross-reference against any locally cached screenshots the customer can provide to recover partial data where the server-side record is incomplete.
unstop
Assessment Configuration
Recruit CRM & ATS
Custom Candidate Property (JSON)
lossyUnstop assessment configurations (question banks, time limits, scoring rubrics) are not a standard object in Recruit CRM's data model. We export the configuration as a structured JSON payload and store it as a custom property on the relevant Candidate record or as a linked Custom Object. The quiz session results (which reference the configuration) import separately and link to the candidate record by user ID.
unstop
Organization (Recruiter)
Recruit CRM & ATS
Client
1:1Unstop Organization profiles containing company name, logo, description, and contact details migrate as Recruit CRM Client records. The organization contact email becomes the primary client contact. Multiple Unstop organizations under one recruiter account map to multiple Client records in Recruit CRM.
| unstop | Recruit CRM & ATS | Compatibility | |
|---|---|---|---|
| User (Candidate) | Candidate1:1 | Fully supported | |
| Job Posting | Job1:1 | Fully supported | |
| Internship | Job1:1 | Fully supported | |
| Application Record | Application (Candidate-Job relation)1:1 | Fully supported | |
| Competition Enrollment | Candidate Engagement1:1 | Fully supported | |
| Hackathon Record | Candidate Engagement1:1 | Fully supported | |
| Scholarship Posting | Job or Custom Program Record1:1 | Fully supported | |
| Quiz Session | Candidate Evaluation Activity1:1 | Fully supported | |
| Assessment Configuration | Custom Candidate Property (JSON)lossy | Fully supported | |
| Organization (Recruiter) | Client1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
unstop gotchas
No public API for programmatic data extraction
Timed quiz sessions lost to app crashes
Candidate profile data quality varies widely
Competition and hackathon data lacks a standard schema
Recruit CRM & ATS gotchas
API rate limits are license-scaled and can throttle bulk migration
Custom field schemas vary per organization and require field-level mapping
Files and email attachments require separate extraction and re-upload
Email sequences and automation logic do not transfer between platforms
Pair-specific challenges
Migration approach
Unstop data export coordination
We initiate contact with Unstop account management to request a full structured data export covering Users (candidates and recruiters), Job postings, Internship records, Application records, Competition enrollment lists, Hackathon participation records, Scholarship postings, and Quiz session results. While awaiting export, we enumerate the dashboard CSV export options available per object type and prepare the extraction scripts for any records Unstop cannot include in the formal export. We produce a data inventory document listing every object, record count estimate, and extraction method before proceeding.
Data discovery and schema mapping
We ingest the Unstop export files and run a data quality assessment: record counts per object, null field rates, duplicate candidates (same email registered multiple times or under variant names), and anomalous quiz session timestamps. We produce the object mapping document defining how each Unstop object translates to Recruit CRM Candidate, Job, Client, Application, and Engagement records. We flag self-reported profile fields, quiz session anomalies, and multi-format competition records for customer review before transformation begins.
Data cleansing and transformation
We deduplicate candidate records by email address, standardize date formats and null representations, and apply the verification_status__c tagging to all self-reported profile fields. Quiz session anomalies are separated into a review queue for customer sign-off. Competition and hackathon records are normalized into the generic engagement format with format-specific JSON payloads. We produce a cleaned staging dataset per object, ready for Recruit CRM import.
Recruit CRM import and record linkage
We load data into Recruit CRM in dependency order: Client records first (from Unstop Organizations), then Candidate records, then Job and Internship records, then Application records linking Candidates to Jobs, then Engagement records for competition, hackathon, and quiz session data. Quiz session anomaly records are imported into a separate review status for manual verification. We validate record counts at each phase and resolve any dangling references (Candidates with no associated Applications, Jobs with no posted Applications) against the customer's expectations.
Reconciliation and customer validation
We deliver a reconciliation report comparing Unstop source record counts to Recruit CRM destination record counts per object type, with a delta breakdown for duplicates removed and anomalies flagged. The customer's recruiting lead spot-checks 25-50 candidate records, 10-15 job records, and application links to verify accuracy before we mark the migration as approved for cutover. Any mapping corrections are made to the staging dataset before the final load.
Cutover and automation rebuild handoff
We coordinate a cutover window with the customer's team. Unstop receives no new applications during the delta extraction period. We load any records modified during the window, then close the Unstop migration. We deliver a written inventory of Unstop automation objects (candidate matching rules, automated notifications, assessment triggers) with a Recruit CRM equivalent recommendation for each. We do not rebuild Unstop automations as Recruit CRM workflow rules inside the migration scope; that work is a separate engagement. We provide a one-week post-migration support window for data discrepancy resolution.
Platform deep dives
unstop
Source
Strengths
Weaknesses
Recruit CRM & ATS
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across unstop and Recruit CRM & ATS.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
unstop: Not publicly documented..
Data volume sensitivity
unstop doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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